Improved Identification of Imbalanced Multiple Annotation Intent Labels with a Hybrid BLSTM and CNN Model and Hybrid Loss Function. - Supawit Vatathanavaro; Kitsuchart Pasupa; Sorratat Sirirattanajakarin; Boontawee Suntisrivaraporn (ECML/PKDD (5), 2020)

Semi-supervised learning with deep convolutional generative adversarial networks for canine red blood cells morphology classification. - Kitsuchart Pasupa; Suchat Tungjitnob; Supawit Vatathanavaro (Multim. Tools Appl., 2020)

Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification. - Kitsuchart Pasupa; Supawit Vatathanavaro; Suchat Tungjitnob (J. Ambient Intell. Humaniz. Comput., 2023)

Online Multi-camera People Tracking with Spatial-temporal Mechanism and Anchor-feature Hierarchical Clustering. - Riu Cherdchusakulchai; Sasin Phimsiri; Visarut Trairattanapa; Suchat Tungjitnob; Wasu Kudisthalert; Pornprom Kiawjak; Ek Thamwiwatthana; Phawat Borisuitsawat; Teepakorn Tosawadi; Pakcheera Choppradit; Kasisdis Mahakijdechachai; Supawit Vatathanavaro; et al. (CVPR Workshops, 2024)